Capturing Human Digital Memories for Assisting Memory Recall

Dobbins, Chelsea; Merabti, Madjid; Fergus, Paul; Llewellyn‐Jones, David

doi:10.1007/978-1-4471-6392-3_10

Cited by 5 publications

(4 citation statements)

References 91 publications

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“…Lifelogging has been used to assist in recall for people with dementia (Dobbins, Merabti, Fergus, & Llewellyn-Jones, 2014). It has also been used to support people with episodic memory impairment (Lee & Dey, 2008).…”

Section: Related Workmentioning

confidence: 99%

Lifelogging in User Experience Research: Supporting Recall and Improving Data Richness

2017

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Abstract:The purpose of lifelogging is to help users collect data for self-monitoring and reflection. We have in this study explored how lifelogging technology (a camera and a heart rate monitor) can change user experience (UX) research, and we describe a novel approach. Data was collected for three days with four participants, and a 4-6-hours co-creation workshop with stimulated recall interview was held with each of them to create an experience timeline. The timeline includes selfreported key experiences, lifelog stimulated experiences, heart rate, decisions, and valence. The results show that the number of experiences in the timeline that come from data points stimulated by the lifelogging, are as many as the self-reported data points. Lessons learned include that the use of lifelogging produces highly detailed UX research, but it is very time consuming, due to the sheer amount of data.

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Section: Related Workmentioning

confidence: 99%

Lifelogging in User Experience Research: Supporting Recall and Improving Data Richness

2017

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“…The field of lifelogging has been used to help recall the viewers with dementia and provide episodic memory impairment [72,73]. To overcome cognitive overload and augment human memory, different external memory aids such as photos, calendars, alarms, social media posts, application usage logs, and activity logs are often used to help recall important events in our past and future [1,74].…”

Section: Viewers Memory Augmentationmentioning

confidence: 99%

Smart TV-Based Lifelogging Systems: Current Trends, Challenges, and the Road Ahead

Khan

Khusro

Alam

2021

Information and Knowledge in Internet of Things

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The phenomena of lifelogging can be described as "to digitally record the people's daily-life activities and events in varying amounts of detail" [1]. The lifelogging systems use various tools, applications, and devices, such as desktop computers, laptops, smartphones, wearable smart devices, biometric devices, and process the data for explaining the individual's daily-life activities [2]. This recorded information can offer the potential to mine or infer knowledge about life experiences and used for a variety of purposes including contextual recommendation, e-commerce, monitoring, memory augmentation, linking, summarization, contextual retrieval, browsing, the judicial system, searching, adaptive user interface, and analyzing user profiles [3]. Usually, these personalized devices captured a single user's events to help predict and find out different patterns, such as healthcare services, social network services, intelligent mirror services, and recommendation services. Moreover, a user must be actively involved during the lifelogging [4].Lifelogging is a form of pervasive computing. Users can digitally record, capture, store, archive, and process the individuals' complete life experiences in the form of multimodal through different sensors [5]. The main idea of lifelogging to enhance the way people record and exchange their data, information, communication with others, and log into tools or devices [6]. Besides, the concept of lifelogging, to gain knowledge and data about someone, is just like automated biography. However, the lifelogging applications/tools of these devices have been used for single-user life experiences. For example, lifelogging applications and computer tools, such as Latent [7], have their own perspective of live experiences. However, these

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“…Ubiquitous technologies, which are dedicated to personal informatics (Li et al, 2011) and the quantified self (Shin & Biocca, 2017) deliver feedback that is based upon objective data in order to enhance self-improvement (Gemmell et al, 2006) or support cognitive function (Dobbins et al, 2014) . It has been argued that personal informatics support behavioural change by allowing the user to reflect upon behaviour, integrate personal data with a sense of self and finally take action (Li et al, 2010).…”

Section: Personal Informatics and Data Visualisationmentioning

confidence: 99%

Personal informatics and negative emotions during commuter driving: Effects of data visualization on cardiovascular reactivity & mood

Fairclough

Dobbins

2020

International Journal of Human-Computer Studies

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Mobile technology and wearable sensors can provide objective measures of psychological stress in everyday life.Data from sensors can be visualized and viewed by the user to increase self-awareness and promote adaptive coping strategies. A capacity to effectively self-regulate negative emotion can mitigate the biological process of inflammation, which has implications for long-term health. Two studies were undertaken utilizing a mobile lifelogging platform to collect cardiovascular data over a week of real-life commuter driving. The first was designed to establish a link between cardiovascular markers of inflammation and the experience of anger during commuter driving in the real world. Results indicated that an ensemble classification model provided an accuracy rate of 73.12% for the binary classification of episodes of high vs. low anger based upon a combination of features derived from driving (e.g. vehicle speed) and cardiovascular psychophysiology (heart rate, heart rate variability, pulse transit time). During the second study, participants interacted with an interactive, geolocated visualisation of vehicle parameters, photographs and cardiovascular psychophysiology collected over two days of commuter driving (pre-test). Data were subsequently collected over two days of driving following their interaction with the dynamic, data visualization (post-test). A comparison of pre-and post-test data revealed that heart rate significantly reduced during episodes of journey impedance after interaction with the data visualization. There was also evidence that heart rate variability increased during the post-test phase, suggesting greater vagal activation and adaptive coping. Subjective mood data were collected before and after each journey, but no statistically significant differences were observed between pre-and post-test periods. The implications of both studies for ambulatory monitoring, user interaction and the capacity of personal informatics to enhance long-term health are discussed.

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Capturing Human Digital Memories for Assisting Memory Recall

Cited by 5 publications

References 91 publications

Lifelogging in User Experience Research: Supporting Recall and Improving Data Richness

Lifelogging in User Experience Research: Supporting Recall and Improving Data Richness

Smart TV-Based Lifelogging Systems: Current Trends, Challenges, and the Road Ahead

Personal informatics and negative emotions during commuter driving: Effects of data visualization on cardiovascular reactivity & mood

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